{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "d90cbc83",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "#from vk_download import main\n",
    "import scipy.sparse as sprs\n",
    "import time\n",
    "from tqdm.auto import tqdm\n",
    "import os\n",
    "import time\n",
    "import pandas as pd\n",
    "import random\n",
    "import datetime\n",
    "from tqdm.auto import tqdm\n",
    "from threading import Thread\n",
    "from multiprocessing import Process\n",
    "import numpy as np\n",
    "from scipy.sparse import csr_matrix, lil_matrix\n",
    "import scipy.sparse as sprs\n",
    "import os\n",
    "from collections import OrderedDict\n",
    "import shutil\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import networkx as nx\n",
    "from IPython.display import clear_output\n",
    "from statsmodels.stats.proportion import proportion_confint\n",
    "from scipy import stats\n",
    "import statsmodels.api as sm"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a73347ab-ca44-4a59-aba4-e891f3c75572",
   "metadata": {},
   "source": [
    "# Choose city"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "ba6fd740-576b-4298-aaa2-4ed0b39e08bf",
   "metadata": {},
   "outputs": [],
   "source": [
    "#folder = 'MainCity'  # This city was used in analysis\n",
    "\n",
    "# These two cities were used to check robustness of our results\n",
    "\n",
    "#folder = 'City(1)'  # Robustness 1\n",
    "#folder = 'City(2)'  # Robustness 2"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8fbc1e07-0714-4ef9-8c0e-952c3de40179",
   "metadata": {},
   "source": [
    "# Analyze tie removing probability as a function of nodal and edge independent variables"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aa668424-a03d-4f0d-8da7-06961fadad53",
   "metadata": {},
   "source": [
    "# Load masks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d492532b-806d-4956-be8e-4dc6de7fea7e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "...\n",
      "\n",
      "...\n",
      "\n",
      "...\n",
      "\n",
      "...\n",
      "\n",
      "...\n",
      "\n",
      "...\n",
      "\n",
      "...\n",
      "\n",
      "...\n",
      "\n"
     ]
    }
   ],
   "source": [
    "##############################################################################################################\n",
    "\n",
    "MaskZeroCommFr = np.load(f'{folder}/Masks/MaskZeroCommFr.npy')\n",
    "MaskOneCommFr = np.load(f'{folder}/Masks/MaskOneCommFr.npy')\n",
    "MaskTwoCommFr = np.load(f'{folder}/Masks/MaskTwoCommFr.npy')\n",
    "MaskTwoMoreCommFr = np.load(f'{folder}/Masks/MaskTwoMoreCommFr.npy')\n",
    "MaskThreeMoreCommFr = np.load(f'{folder}/Masks/MaskThreeMoreCommFr.npy')\n",
    "MaskOneMoreCommFr = np.load(f'{folder}/Masks/MaskOneMoreCommFr.npy')\n",
    "\n",
    "print('...')\n",
    "\n",
    "print('')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "MaskFewFew = np.load(f'{folder}/Masks/MaskFewFew.npy')\n",
    "MaskFewAvg = np.load(f'{folder}/Masks/MaskFewAvg.npy')\n",
    "MaskFewMany = np.load(f'{folder}/Masks/MaskFewMany.npy')\n",
    "MaskAvgAvg = np.load(f'{folder}/Masks/MaskAvgAvg.npy')\n",
    "MaskAvgMany = np.load(f'{folder}/Masks/MaskAvgMany.npy')\n",
    "MaskManyMany = np.load(f'{folder}/Masks/MaskManyMany.npy')\n",
    "\n",
    "print('...')\n",
    "\n",
    "print('')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "MaskConsCons = np.load(f'{folder}/Masks/MaskConsCons.npy')\n",
    "MaskConsMod = np.load(f'{folder}/Masks/MaskConsMod.npy')\n",
    "MaskConsLib = np.load(f'{folder}/Masks/MaskConsLib.npy')\n",
    "MaskModMod = np.load(f'{folder}/Masks/MaskModMod.npy')\n",
    "MaskModLib = np.load(f'{folder}/Masks/MaskModLib.npy')\n",
    "MaskLibLib = np.load(f'{folder}/Masks/MaskLibLib.npy')\n",
    "\n",
    "print('...')\n",
    "\n",
    "print('')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "MaskStaticOpinions = np.load(f'{folder}/Masks/MaskStaticOpinions.npy')\n",
    "\n",
    "print('...')\n",
    "\n",
    "print('')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "Target = np.load(f'{folder}/Masks/Target.npy')\n",
    "\n",
    "print('...')\n",
    "\n",
    "print('')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "MaskZeroCommFollowees = np.load(f'{folder}/Masks/MaskZeroCommFollowees.npy')\n",
    "MaskOneMoreCommFollowees = np.load(f'{folder}/Masks/MaskOneMoreCommFollowees.npy')\n",
    "\n",
    "print('...')\n",
    "\n",
    "print('')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "MaskYoungYoung = np.load(f'{folder}/Masks/MaskYoungYoung.npy')\n",
    "MaskYoungMiddle = np.load(f'{folder}/Masks/MaskYoungMiddle.npy')\n",
    "MaskYoungOld = np.load(f'{folder}/Masks/MaskYoungOld.npy')\n",
    "MaskMiddleMiddle = np.load(f'{folder}/Masks/MaskMiddleMiddle.npy')\n",
    "MaskMiddleOld = np.load(f'{folder}/Masks/MaskMiddleOld.npy')\n",
    "MaskOldOld = np.load(f'{folder}/Masks/MaskOldOld.npy')\n",
    "\n",
    "print('...')\n",
    "\n",
    "print('')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "MaskMaleMale = np.load(f'{folder}/Masks/MaskMaleMale.npy')\n",
    "MaskMaleFemale = np.load(f'{folder}/Masks/MaskMaleFemale.npy')\n",
    "MaskFemaleFemale = np.load(f'{folder}/Masks/MaskFemaleFemale.npy')\n",
    "\n",
    "print('...')\n",
    "\n",
    "print('')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "MaskDeletedTie = (Target == 3)\n",
    "\n",
    "MaskWereFriends = (Target == 3) | (Target == 4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "a80c6a4e-e419-4a76-a353-832294914ca3",
   "metadata": {},
   "outputs": [],
   "source": [
    "def calculate_conf_int(MaskFeature, MaskControl, factor = 1):\n",
    "    \n",
    "    \n",
    "    #mask_target = mask_C_C\n",
    "    #nom = sum(MaskBecomeFriends & MaskFeature & MaskControl)\n",
    "    #denom = sum(MaskWereNotFriends & MaskFeature & MaskControl)\n",
    "\n",
    "    nom = (MaskDeletedTie * MaskFeature * MaskControl).sum()\n",
    "    denom = (MaskWereFriends * MaskFeature * MaskControl).sum()\n",
    "    \n",
    "    clear_output(wait=True)\n",
    "    \n",
    "    print(nom, denom)\n",
    "    \n",
    "    print('')\n",
    "    \n",
    "    (left, right) = proportion_confint(count=nom,    # Number of \"successes\"\n",
    "                                       nobs=denom,    # Number of trials\n",
    "                                       method='wilson',\n",
    "                                       alpha=0.05)\n",
    "    \n",
    "    \n",
    "    \n",
    "    #return (round(left*factor, 2), round(nom/denom*factor, 2), round(right*factor, 2))\n",
    "    return (np.log(left)*factor, (np.log(nom)-np.log(denom))*factor, np.log(right)*factor)\n",
    "    #return (left, nom/denom, right)\n",
    "\n",
    "def PrepareDataForErrorBare (FocalMasks, MaskControl):\n",
    "    \n",
    "    Intervals = []\n",
    "\n",
    "    #MasksCommFr = [MaskZeroCommFr, MaskOneCommFr, MaskTwoCommFr, MaskThreeMoreCommFr]\n",
    "    #MasksCommFrNames = ['Zero comm fr', 'One comm fr', 'Two comm fr', 'Three or more comm fr']\n",
    "\n",
    "    #MaskControl = MaskStaticOpinions\n",
    "\n",
    "    for i in range(len(FocalMasks)) :\n",
    "\n",
    "        FocalMask  = FocalMasks[i]\n",
    "\n",
    "        ConfInt = calculate_conf_int(FocalMask, MaskControl)\n",
    "        Intervals.append(ConfInt)\n",
    "\n",
    "    XPos = [i[1] for i in Intervals]\n",
    "\n",
    "    ErrorValues = np.zeros((2, len(XPos)))\n",
    "    ErrorValues[0] = [(i[1]-i[0]) for i in Intervals]\n",
    "    ErrorValues[1] = [(i[2]-i[1]) for i in Intervals] \n",
    "    \n",
    "    return ErrorValues, XPos"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "62fed2be-face-4828-b245-0a8b47b652b6",
   "metadata": {},
   "source": [
    "# Figure 6"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "737b6e88",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1054 54594\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x864 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(18, 12), constrained_layout = True)\n",
    "\n",
    "nrwos = 2\n",
    "ncols = 3\n",
    "\n",
    "Color = 'royalblue'\n",
    "TitleSize = 25\n",
    "TickSize = 15\n",
    "ElineWidth = 3.5\n",
    "\n",
    "mecValue = 'k'\n",
    "msValue = 7\n",
    "mewValue = 2\n",
    "\n",
    "RotValue = 45\n",
    "\n",
    "fmtValue = 's'\n",
    "capsizeValue = 0\n",
    "\n",
    "XLabel = 'probability of tie removing'\n",
    "\n",
    "##############################################################################################################\n",
    "print('...')\n",
    "sub = fig.add_subplot(nrwos, ncols, 1)\n",
    "sub.set_title('A. Transitivity', fontsize=TitleSize)\n",
    "y = [1, 3, 5, 7]\n",
    "\n",
    "\n",
    "FocalMasks = [MaskZeroCommFr, MaskOneCommFr, MaskTwoCommFr, MaskThreeMoreCommFr]\n",
    "#MasksCommFrNames = ['Zero comm fr', 'One comm fr', 'Two comm fr', 'Three or more comm fr']\n",
    "MaskControl = MaskStaticOpinions\n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 7, 8), ('', '0', '1', '2', '$\\geq 3$','')) \n",
    "sub.xaxis.set_tick_params(labelsize=15)\n",
    "sub.yaxis.set_tick_params(labelsize=15)\n",
    "sub.set_xlabel(XLabel, fontsize=20)\n",
    "sub.set_ylabel('number of common friends', fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 8])\n",
    "\n",
    "#sub.vlines(0, -10, 10, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "print('...')\n",
    "sub = fig.add_subplot(nrwos, ncols, 2)\n",
    "sub.set_title('B. Preferential attachment \\n (0 comm fr)', fontsize=TitleSize)\n",
    "\n",
    "\n",
    "Intervals = []\n",
    "\n",
    "FocalMasks = [MaskFewFew, MaskFewAvg, MaskFewMany, MaskAvgAvg, MaskAvgMany, MaskManyMany]\n",
    "MaskControl = MaskStaticOpinions * MaskZeroCommFr\n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "y = np.array([1, 3, 5, 7, 9, 11]) \n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 7, 9, 11, 12), ('', \n",
    "                                            '(1-8) - (1-8)', \n",
    "                                            '(1-8) - (8-17)', \n",
    "                                            '(1-8) - (17+)', \n",
    "                                            '(8-17) - (8-17)', \n",
    "                                            '(8-17) - (17+)',\n",
    "                                            '(17+) - (17+)', \n",
    "                                            ''), \n",
    "               rotation=RotValue)\n",
    "\n",
    "sub.xaxis.set_tick_params(labelsize=15)\n",
    "sub.yaxis.set_tick_params(labelsize=15)\n",
    "sub.set_xlabel(XLabel, fontsize=20)\n",
    "sub.set_ylabel(\"nodal degree\", fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 12])\n",
    "\n",
    "#sub.vlines(0, -20, 20, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "print('...')\n",
    "sub = fig.add_subplot(nrwos, ncols, 3)\n",
    "sub.set_title('C. Preferential attachment \\n ($ \\geq 1 $ comm fr)', fontsize=TitleSize)\n",
    "\n",
    "Intervals = []\n",
    "\n",
    "FocalMasks = [MaskFewFew, MaskFewAvg, MaskFewMany, MaskAvgAvg, MaskAvgMany, MaskManyMany]\n",
    "MaskControl = MaskStaticOpinions * MaskOneMoreCommFr\n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "y = np.array([1, 3, 5, 7, 9, 11]) \n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 7, 9, 11, 12), ('', \n",
    "                                            '(1-8) - (1-8)', \n",
    "                                            '(1-8) - (8-17)', \n",
    "                                            '(1-8) - (17+)', \n",
    "                                            '(8-17) - (8-17)', \n",
    "                                            '(8-17) - (17+)',\n",
    "                                            '(17+) - (17+)', \n",
    "                                            ''), \n",
    "               rotation=RotValue)\n",
    "\n",
    "sub.xaxis.set_tick_params(labelsize=15)\n",
    "sub.yaxis.set_tick_params(labelsize=15)\n",
    "sub.set_xlabel(XLabel, fontsize=20)\n",
    "sub.set_ylabel(\"nodal degree\", fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 12])\n",
    "\n",
    "#sub.vlines(0, -20, 20, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "print('...')\n",
    "sub = fig.add_subplot(nrwos, ncols, 4)\n",
    "sub.set_title('D. Opinion selectivity', fontsize=TitleSize)\n",
    "\n",
    "Intervals = []\n",
    "\n",
    "FocalMasks = [MaskConsCons, MaskConsMod, MaskConsLib, MaskModMod, MaskModLib, MaskLibLib]\n",
    "MaskControl = MaskStaticOpinions \n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "y = [1, 3, 5, 7, 9, 11]\n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 7, 9, 11, 12), ('', \n",
    "                                            'cons-cons', \n",
    "                                            'cons-mod', \n",
    "                                            'cons-lib', \n",
    "                                            'mod-mod', \n",
    "                                            'mod-lib',\n",
    "                                            'lib-lib', \n",
    "                                            ''), \n",
    "               rotation=RotValue)\n",
    "\n",
    "sub.xaxis.set_tick_params(labelsize=15)\n",
    "sub.yaxis.set_tick_params(labelsize=15)\n",
    "sub.set_xlabel(XLabel, fontsize=20)\n",
    "sub.set_ylabel(\"opinion\", fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 12])\n",
    "\n",
    "#sub.vlines(0, -20, 20, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "print('...')\n",
    "sub = fig.add_subplot(nrwos, ncols, 5)\n",
    "sub.set_title('E. Age selectivity', fontsize=TitleSize)\n",
    "\n",
    "Intervals = []\n",
    "\n",
    "FocalMasks = [MaskYoungYoung, MaskYoungMiddle, MaskYoungOld, MaskMiddleMiddle, MaskMiddleOld, MaskOldOld]\n",
    "MaskControl = MaskStaticOpinions \n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "y = [1, 3, 5, 7, 9, 11]\n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 7, 9, 11, 12), ('', \n",
    "                                        '(18-31) - (18-31)', \n",
    "                                        '(18-31) - (31-40)', \n",
    "                                        '(18-31) - (40+)', \n",
    "                                        '(31-40) - (31-40)', \n",
    "                                        '(31-40) - (40+)',\n",
    "                                        '(40+)   - (40+)', \n",
    "                                        ''), \n",
    "               rotation=RotValue)\n",
    "\n",
    "sub.xaxis.set_tick_params(labelsize=15)\n",
    "sub.yaxis.set_tick_params(labelsize=15)\n",
    "sub.set_xlabel(XLabel, fontsize=20)\n",
    "sub.set_ylabel(\"age\", fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 12])\n",
    "\n",
    "#sub.vlines(0, -20, 20, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "print('...')\n",
    "sub = fig.add_subplot(nrwos, ncols, 6)\n",
    "sub.set_title('F. Gender selectivity', fontsize=TitleSize)\n",
    "\n",
    "Intervals = []\n",
    "\n",
    "FocalMasks = [MaskMaleMale, MaskMaleFemale, MaskFemaleFemale]\n",
    "MaskControl = MaskStaticOpinions \n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "y = [1, 3, 5]\n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 6), ('', \n",
    "                                        'male-male', \n",
    "                                        'female-male', \n",
    "                                        'female-female', \n",
    "                                        ''), \n",
    "               rotation=RotValue)\n",
    "\n",
    "sub.xaxis.set_tick_params(labelsize=15)\n",
    "sub.yaxis.set_tick_params(labelsize=15)\n",
    "sub.set_xlabel(XLabel, fontsize=20)\n",
    "sub.set_ylabel(\"gender\", fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 6])\n",
    "\n",
    "#sub.vlines(0, -20, 20, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "47b2c68e-59c9-408b-9145-65b0fc72a4af",
   "metadata": {},
   "source": [
    "# - Opinion selectivity - control for age (Figure C10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "bdcb23c7-f40d-42ac-8b8e-d157f156b86b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2 131\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x1296 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "MaskSmallDiff = np.load(f'{folder}/Masks/MaskSmallDiff.npy')\n",
    "MaskAvgDiff = np.load(f'{folder}/Masks/MaskAvgDiff.npy')\n",
    "MaskLargeDiff = np.load(f'{folder}/Masks/MaskLargeDiff.npy')\n",
    "MaskHugeDiff = np.load(f'{folder}/Masks/MaskHugeDiff.npy')\n",
    "\n",
    "fig = plt.figure(figsize=(18, 18), constrained_layout = True)\n",
    "\n",
    "nrwos = 2\n",
    "ncols = 2\n",
    "\n",
    "Color = 'royalblue'\n",
    "TitleSize = 25\n",
    "TickSize = 15\n",
    "ElineWidth = 3.5\n",
    "\n",
    "mecValue = 'k'\n",
    "msValue = 20\n",
    "mewValue = 2\n",
    "\n",
    "RotValue = 45\n",
    "\n",
    "fmtValue = 's'\n",
    "capsizeValue = 0\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "print('...')\n",
    "\n",
    "sub = fig.add_subplot(nrwos, ncols, 1)\n",
    "sub.set_title('A Opinion selectivity | age (18-31) - (18-31)', fontsize=TitleSize)\n",
    "y = [1, 3, 5, 7]\n",
    "\n",
    "\n",
    "FocalMasks = [MaskSmallDiff, MaskAvgDiff, MaskLargeDiff, MaskHugeDiff]\n",
    "#MasksCommFrNames = ['Zero comm fr', 'One comm fr', 'Two comm fr', 'Three or more comm fr']\n",
    "MaskControl = MaskStaticOpinions & MaskYoungYoung\n",
    "#[MaskYoungYoung, MaskYoungMiddle, MaskYoungOld, MaskMiddleMiddle, MaskMiddleOld, MaskOldOld]\n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 7, 8), ('', 'small', 'avg', 'large', 'huge',''), \n",
    "               rotation=RotValue) \n",
    "sub.xaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.yaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.set_xlabel('probability of tie removing', fontsize=20)\n",
    "sub.set_ylabel('abs difference in opinions', fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 8])\n",
    "\n",
    "#sub.vlines(0, -10, 10, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "print('...')\n",
    "\n",
    "sub = fig.add_subplot(nrwos, ncols, 2)\n",
    "sub.set_title('B Opinion selectivity | age (31-40) - (31-40)', fontsize=TitleSize)\n",
    "y = [1, 3, 5, 7]\n",
    "\n",
    "\n",
    "FocalMasks = [MaskSmallDiff, MaskAvgDiff, MaskLargeDiff, MaskHugeDiff]\n",
    "#MasksCommFrNames = ['Zero comm fr', 'One comm fr', 'Two comm fr', 'Three or more comm fr']\n",
    "MaskControl = MaskStaticOpinions & MaskMiddleMiddle\n",
    "#[MaskYoungYoung, MaskYoungMiddle, MaskYoungOld, MaskMiddleMiddle, MaskMiddleOld, MaskOldOld]\n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 7, 8), ('', 'small', 'avg', 'large', 'huge',''), \n",
    "               rotation=RotValue) \n",
    "sub.xaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.yaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.set_xlabel('probability of tie removing', fontsize=20)\n",
    "sub.set_ylabel('abs difference in opinions', fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 8])\n",
    "\n",
    "#sub.vlines(0, -10, 10, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "print('...')\n",
    "\n",
    "sub = fig.add_subplot(nrwos, ncols, 3)\n",
    "sub.set_title('C Opinion selectivity | age (40+) - (40+)', fontsize=TitleSize)\n",
    "y = [1, 3, 5, 7]\n",
    "\n",
    "\n",
    "FocalMasks = [MaskSmallDiff, MaskAvgDiff, MaskLargeDiff, MaskHugeDiff]\n",
    "#MasksCommFrNames = ['Zero comm fr', 'One comm fr', 'Two comm fr', 'Three or more comm fr']\n",
    "MaskControl = MaskStaticOpinions & MaskOldOld\n",
    "#[MaskYoungYoung, MaskYoungMiddle, MaskYoungOld, MaskMiddleMiddle, MaskMiddleOld, MaskOldOld]\n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 7, 8), ('', 'small', 'avg', 'large', 'huge',''), \n",
    "               rotation=RotValue) \n",
    "sub.xaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.yaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.set_xlabel('probability of tie removing', fontsize=20)\n",
    "sub.set_ylabel('abs difference in opinions', fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 8])\n",
    "\n",
    "#sub.vlines(0, -10, 10, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "print('...')\n",
    "\n",
    "sub = fig.add_subplot(nrwos, ncols, 4)\n",
    "sub.set_title('D Opinion-based homophily | age (18-31) - (40+)', fontsize=TitleSize)\n",
    "y = [1, 3, 5, 7]\n",
    "\n",
    "\n",
    "FocalMasks = [MaskSmallDiff, MaskAvgDiff, MaskLargeDiff, MaskHugeDiff]\n",
    "#MasksCommFrNames = ['Zero comm fr', 'One comm fr', 'Two comm fr', 'Three or more comm fr']\n",
    "MaskControl = MaskStaticOpinions & MaskYoungOld\n",
    "#[MaskYoungYoung, MaskYoungMiddle, MaskYoungOld, MaskMiddleMiddle, MaskMiddleOld, MaskOldOld]\n",
    "\n",
    "ErrorValues, XPos = PrepareDataForErrorBare (FocalMasks, MaskControl)\n",
    "\n",
    "\n",
    "sub.errorbar(XPos, y, xerr=ErrorValues, fmt = fmtValue, color = Color, elinewidth=ElineWidth, capsize=capsizeValue, \n",
    "             mec=mecValue, ms=msValue, mew=mewValue)\n",
    "sub.set_yticks((0, 1, 3, 5, 7, 8), ('', 'small', 'avg', 'large', 'huge',''), \n",
    "               rotation=RotValue) \n",
    "sub.xaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.yaxis.set_tick_params(labelsize=TickSize)\n",
    "sub.set_xlabel('probability of tie removing', fontsize=20)\n",
    "sub.set_ylabel('difference in opinions', fontsize=20)\n",
    "\n",
    "sub.set_ylim([0, 8])\n",
    "\n",
    "#sub.vlines(0, -10, 10, color='k', linestyle='--')\n",
    "\n",
    "#sub.set_xscale('log')\n",
    "\n",
    "##############################################################################################################\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "09c1b557-68df-47a3-83c1-9909d38d68d7",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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